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distilbart-podimo-data-eval-1-2e

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.7114
  • Rouge1: 32.7887
  • Rouge2: 6.5245
  • Rougel: 16.9089
  • Rougelsum: 29.6437
  • Gen Len: 141.3408

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
4.2142 0.98 44 3.8082 32.7658 6.2506 16.7953 29.6922 140.5503
3.6965 1.98 88 3.7114 32.7887 6.5245 16.9089 29.6437 141.3408

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.11.0
  • Datasets 2.2.1
  • Tokenizers 0.12.1
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